End of training

README.md

@@ -0,0 +1,72 @@
+---
+license: apache-2.0
+base_model: google/bert_uncased_L-2_H-128_A-2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Bert_tinybert-distilled
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Bert_tinybert-distilled
+
+This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4565
+- Accuracy: 0.7973
+- Auc: 0.8745
+- Mcc: 0.6019
+- Pr Auc: 0.8517
+- Bac: 0.7973
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0003098011180790181
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 33
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 9
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc    | Mcc    | Pr Auc | Bac    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|
+| 0.6039        | 1.0   | 172  | 0.5328          | 0.7033   | 0.8094 | 0.4152 | 0.7669 | 0.7033 |
+| 0.5426        | 2.0   | 344  | 0.4892          | 0.78     | 0.8386 | 0.5777 | 0.7876 | 0.78   |
+| 0.5225        | 3.0   | 516  | 0.4794          | 0.7847   | 0.8532 | 0.5774 | 0.8195 | 0.7847 |
+| 0.5069        | 4.0   | 688  | 0.4593          | 0.7973   | 0.8656 | 0.5988 | 0.8310 | 0.7973 |
+| 0.4971        | 5.0   | 860  | 0.4636          | 0.8      | 0.8696 | 0.6114 | 0.8421 | 0.8    |
+| 0.479         | 6.0   | 1032 | 0.4567          | 0.802    | 0.8744 | 0.6146 | 0.8520 | 0.802  |
+| 0.4733        | 7.0   | 1204 | 0.4559          | 0.8007   | 0.8706 | 0.6054 | 0.8510 | 0.8007 |
+| 0.4647        | 8.0   | 1376 | 0.4525          | 0.8033   | 0.8733 | 0.6108 | 0.8499 | 0.8033 |
+| 0.4646        | 9.0   | 1548 | 0.4565          | 0.7973   | 0.8745 | 0.6019 | 0.8517 | 0.7973 |
+
+
+### Framework versions
+
+- Transformers 4.43.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:20e2629b0db0433ea4b6073edb9a3e44e2d6882fec3482e1815e5ea7fe82d5cd
+oid sha256:b7e432a1d779e798d0c5935078bca6b85766dd7958077346e206106d710a20b0
 size 17549312